Graduate School of Agriculture
生物環境学専攻
日本語
English
Update date:2025/01/05
Associate Professor
Kimura Takashi
My website is here.
Research History
2011/12-2014/12
Public Works Research Institute
Snow Avalanche and Landslide Research Center
Researcher
2014/12-2016/07
The Japan Landslide Society
(Faculty of Engineering, University of Yamanashi)
Researcher
2016/07-2019/09
National Research Institute for Earth Science and Disaster Resilience
Storm, Flood and Landslide Research Division; Innovation Center for Meteorological Disaster Mitigation
Associated Research Fellow
2019/10-2024/09
Ehime University
Graduate School of Agriculture
Assistant Professor
2019/10-present
National Research Institute for Earth Science and Disaster Resilience
Visiting Researcher
2020/04-present
Ehime University
Institution for Collaborative Relations Center for Disaster Management Informatics Research
Concurrent teacher
2020/04-present
Ehime University
University Forest
Concurrent teacher
2022/04-present
Ehime University
Graduate School of Agriculture Citrus Industry Innovation Center
Concurrent teacher
2024/10-present
Ehime University
Graduate School of Agriculture
Associate Professor
Education
Shinshu University
2001/04
2005/03
Shinshu University
2006/04
2008/03
Hokkaido University
2008/04
2012/03
Degree
Doctor of Agriculture
Hokkaido University
Research Areas
Physical geography
Geomorphology
Erosion control engineering
Research Interests
applied geomorphology
sediment budget
landslide
slope failure
dendrochronology
radiocarbon dating
tephrochronology
GIS
sediment-related disaster
natural disaster
erosion control engineering
airborne LiDAR
debris fan
mountain conservation
Research Projects
公益社団法人日本地すべり学会
研究助成
埋もれ木の年代測定に基づく歴史的大規模土砂災害の再検証:池口崩れの事例
2022/04-2025/03
Japan Society for the Promotion of Science
Grants-in-Aid for Scientific Research
Wide-area estimation of tree root reinforcement in topsoils and verification of landslide suppression effect during earthquakes
Grant-in-Aid for Early-Career Scientists
2022/04-2025/03
日本学術振興会
科学研究費助成事業 基盤研究(C)
大規模斜面崩壊の発生年代と誘因に関する通説の地形学・地質学・年代学的検証
基盤研究(C)
2022/04-2025/03
一般社団法人全国治水砂防協会
調査研究助成
深層崩壊跡地の地形解析に基づく生産土砂量と土砂到達範囲の高精度推定手法の開発
2021/09-2024/08
Japan Society for the Promotion of Science
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Practical study on rainfall water infiltration and slope failure mechanism in natural stratified slopes based on distributed sensor observations
Grant-in-Aid for Scientific Research (B)
2021/04-2024/03
今年度においては,まず研究の中核となる観測対象の斜面地を選定するとともに,斜面での観測計画を立案した。当初の候補地であった檜原村(東京都西多摩郡)では,観測に対して必ずしも適切な斜面が見つからなかった。次善の策として,観測の比較的容易な火山灰で覆われた牧草地の斜面を熊本県阿蘇市において選定し,その中で観測に適した斜面を選定した。 次いで,研究対象となった阿蘇市内の斜面地において,地形・地質的特徴の精査および植生を把握するための現地調査の準備を行い,観測計画を立てた。ばらまき型センサーによる全斜面的監視システムを斜面にインストールするには,事前に高精度の地形図を作成する必要がある。また,断続的に地表形状を計測することによって,地中に埋め込まれたセンサーから得られる斜面変動データとの関係を検討する必要がある。そこで本研究ではレーザー測量機能を搭載したドローンを用いて地形計測を試みている。また,斜面の地中水分を多点計測するための,ばらまき型センサ・システムの設計と試作を行った。市販の土壌水分センサーを6つ接続することができる複数のセンサーノードと,斜面画像とセンサーデータをクラウド・サーバに送信する伝送ノードから構成した。クラウド・サーバ上のデータはノイズが含まれるため,このノイズについてexponential smoother で除去を行った。この際に,smoothing parameter や次数についてAICを用いてモデル選択をしたところ,結果として一番シンプルなモデルが得られた。
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Books and Other Publications
Natural Geo-Disasters and Resiliency
Hemanta Hazarika, Stuart Kenneth Haigh, Babloo Chaudhary, Masanori Murai, Suman Manandhar
Landslide Susceptibility in a Highly Cultivated Hilly Region: Artificial Slope Construction in 1963–1979 and the Subsequent 2018 Landslide Event in Omishima, Western Japan
Springer Singapore
2024/05/04
978-981-99-9222-5
砂防の観測の現場を訪ねて3 ~水の動きの不思議~
公益社団法人 砂防学会
公益社団法人 砂防学会
2022/07/01
4990500032
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Papers
Landslide susceptibility in a highly cultivated hilly region: Artificial slope construction in 1963–1979 and the subsequent 2018 landslide event in Omishima, western Japan
2024/05/04
Takashi Kimura Go Sato Takatsugu Ozaki Nguyen Van Thang Akihiko Wakai
Lecture Notes in Civil Engineering, Natural Geo-Disasters and Resiliency
455, 463-469
Dissertations (books)
10.1007/978-981-99-9223-2_40
URL
Springer Nature Singapore
Effects of land cover changes and rainfall variation on the landslide size–frequency distribution in a mountainous region of western Japan
2024/02/23
Takashi Kimura
Geosciences
14/ 3, 59-59
Research paper (scientific journal)
10.3390/geosciences14030059
URL
MDPI AG
This study investigated the size–frequency distribution of 512 landslides triggered by heavy rain in July 2018 on Omishima Island, western Japan. Since the island has undergone rapid land use and land cover changes in recent decades, this study statistically examined the impact of past land cover changes on the shape of, and local variability in, the size–frequency distribution using the inverse gamma model. The possible influence of rainfall conditions was also examined. The landslides were classified based on the severity of anthropogenic disturbance and rainfall using a 56-year (1962–2018) land cover trajectory map and hourly rainfall distribution data. The results indicated that the land cover change (mainly forest conversion into farmland and its abandonment) affected the size and frequency of landslides that occurred decades after the disturbance. Although all landslide groups had similar small rollovers (location of probability peak; 0.042–0.075 × 10−3 km2), the scaling exponents of the negative power-law decay were lower for landslides in secondary forest and newly developed farmland (ρ = 1.084–1.231) than in old forest and farmland (ρ = 2.504–2.611). This difference is considered significant compared to general exponent values (ρ = 2.30 ± 0.56), suggesting that farmland development after 1962 caused widespread slope instability, leading to an increase in the proportion of large landslides. By contrast, no clear correlations with rainfall intensity were found, primarily due to complex localised variations in rainfall conditions.
Land cover trajectories and their impacts on rainfall-triggered landslide occurrence in a cultivated mountainous region of western Japan
2023/12
Takashi Kimura Go Sato Takatsugu Ozaki Nguyen Van Thang Akihiko Wakai
Water
15/ 24, 4211
Research paper (scientific journal)
10.3390/w15244211
Simulation of shallow landslides induced by typhoon in July 2018 in Gogoshima, Ehime Prefecture, Japan based on a simple model
2023/08/01
T V Nguyen T Ozaki A Wakai T Kimura G Sato N Kitamura
IOP Conference Series: Materials Science and Engineering
1289/ 1, 012106
Research paper (international conference proceedings)
10.1088/1757-899x/1289/1/012106
URL
URL_2
IOP Publishing
Abstract Every year, many typhoons make landfall in Japan causing disasters on mountain slopes across the country. Rainfall induced landslides in Japan mostly occur at shallow depths. Developing simple models of rainfall-induced landslides provides a practical alternative to finite element methods in large-scale landslide modelling and prediction. Therefore, authors previously developed a simple method to calculate the advance of the wetting front into fine sand slopes subjected rainfall. However, during intense rainfall, the excess rainfall that cannot be absorbed into the soil will generate runoff on the slope surface, which has not been included in the previous model. Thus, this study integrated the model with a surface water modeling module to simulate the disasters more comprehensively. The surface water is controlled by 2D shallow water equations and the digital elevation model depression removal process. The combined model is able to provide the maps of the wetting front, surface water depth, and factor of safety of slope during rainstorms. The newly integrated model was used to simulate rainfall-induced disasters in the Gogoshima Island during the July 2018 typhoon. The simulation results disclosed that both moving of the wetting front and surface water flows contributed to shallow landslides along catchments in this island.
Elucidation of factors causing landslides in the July 2018 storm event based on land use changes since Showa period: A case study on islands in Ehime Prefecture
2023/08
Takashi Kimura
Japan Geographic Data Center Research Grant Reports
(MISC) Institution technical report and pre-print, etc.
URL
Japan Geographic Data Center
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Presentations
Effects of past land cover and land use changes and rainfall spatial variation on the landslide size–frequency distribution during a recent storm event
63th Annual Meeting of Japan Landslide Society
2024/09/18
Oral presentation(general)
斜面変動および土砂移動の発生要因について
第3回松山市城山斜面崩壊・緑町土砂災害調査速報会
2024/08/10
Other
斜面変動および土砂移動発生場の地形的特徴
第2回松山市城山斜面崩壊・緑町土砂災害調査速報会
2024/07/28
Other
Surveying the distribution of constructed agricultural lands, including abandoned farms, and assessing the landslide susceptibility
すべり面および移動体の物質科学・構造研究委員会 第2回研究委員会
2022/10/29
Mobility of earthquake-induced tephra deposit landslides: Error factors in elevation differential analysis and their impact on mobility evaluation
Japan Geoscience Union Meeting 2022
2022/05/24
Oral presentation(general)
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Awards
2024/09
President's Award
Others (Disaster Response)
https://www.ehime-u.ac.jp/wp-content/uploads/2024/09/r6_gakuchosho.pdf
2019/08
Best technical report award
“Revisiting geomorphic changes caused by the Dondokosawa rock avalanche in the Akaishi Mountains, central Japan”
https://japan.landslide-soc.org/pdf/2019winners1.pdf
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Allotted Class
2024
Introduction to Agriculture
2024
Introduction to Agriculture
2024
Physics
2024
Erosion control engineering
2024
Forest remote sensing
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Social Activities
山と森と水との関係を紐解く
2024/12/14
近年の豪雨災害とその特徴
2024/11/08
石手川&森の探検隊―自然の大切さや雨・山・川の役割を考えよう
2024/08/04
石手川&森の探検隊―自然の大切さや雨・山・川の役割を考えよう
2023/08/06
石手川&森の探検隊―自然の大切さや雨・山・川の役割を考えよう
2022/08/07
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Media Coverage
土砂災害どう防ぐ 愛媛大研究者に聞く <下> 無流水渓流対策 網羅は困難、選別・集中を
Newspaper,magazine
愛媛新聞社
愛媛新聞
2024/09/22
土砂災害どう防ぐ 愛媛大研究者に聞く <中> 県内のリスク 強度の弱い地層に懸念
Newspaper,magazine
愛媛新聞社
愛媛新聞
2024/09/21
土砂災害どう防ぐ 愛媛大研究者に聞く <上> 山際に宅地拡大 被害増 課題は避難促進
Newspaper,magazine
愛媛新聞社
愛媛新聞
2024/09/20
西日本豪雨から6年 ~あの日を忘れない~|「この経験を活かす」災害に強い地域づくりとは
TV or radio program
南海放送
NEWS CH.4(チャン4)
2024/07/08
特集:西日本豪雨から6年 ~あの日を忘れない~ 南海放送公式ホームページ掲載記事 News timelineトピックス|西日本豪雨で約半数のかんきつ農家が園地失い…爪痕残る「興居島」に学ぶ災害に強い地域づくりとは URL: https://news.ntv.co.jp/n/rnb/category/life/rbfaf72a9ec1dc4eabb29dae1e88b2b888 南海放送NEWS CH.4(チャン4)公式YouTubeチャンネル配信動画 「この経験を活かす」災害に強い地域づくりとは URL: https://youtu.be/ditXSjKhOoY?si=JhBvHBxwJ4z9tijs
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Professional Memberships
American Geophysical Union
JAPAN SOCIETY OF EROSION CONTROL ENGINEERING
JAPAN GEOSCIENCE UNION
JAPANESE GEOMORPHOLOGICAL UNION
TOKYO GEOGRAPHICAL SOCIETY
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Committee Memberships
2024/09-present
環太平洋インタープリベント2026実行委員会
編集小委員会 委員
2024/07-present
砂防学会国際部会
部会員
2023/05-present
松山市宅地造成及び特定盛土等規制法に基づく基礎調査業務 有識者検討会
委員
2023/05-present
砂防学会中四国支部
運営委員
2023/01-present
国土交通省 四国地方整備局 四国山地砂防事務所 善徳地区地すべり及び怒田・八畝地区地すべり対策検討委員会
委員
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Teaching Experience
Forest Environment Management Recurrent Course: The Mechanism of Mountain Hazards
Faculty of Agriculture, Ehime University
Physics
Faculty of Agriculture, Ehime University
Introduction to Agriculture
Ehime University
Special Lectures on Forest Resources
Graduate School of Agriculture, Ehime University
Graduation Thesis
Faculty of Agriculture, Ehime University
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